Author

Jayadeva

Indian Institute of Technology DelhiORCID 0000-0002-0604-8756Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Debarka SenguptaiD· 2 shared Aashi JindaliD· 1 shared Huipeng Li· 1 shared Mayank SharmaiD· 1 shared Prashant GuptaiD· 1 shared Shyam PrabhakariD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Debarka SenguptaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep learning discerns cancer mutation exclusivity

Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta

This study uses deep learning to analyze exome sequencing data and detect cancer-specific SNVs, addressing the challenge of mutation exclusivity in cancer.

bioRxiv · Apr 9, 2020 · PreprintBioinformatics

FORKS: Finding Orderings Robustly using K-means and Steiner trees

Mayank Sharma, Huipeng Li, Debarka Sengupta, Shyam Prabhakar, Jayadeva

FORKS improves pseudo-temporal ordering of single-cell and bulk data by combining k-means and Steiner trees, showing higher accuracy and robustness than existing methods.

bioRxiv · Jun 20, 2017 · PreprintBioinformatics